• DocumentCode
    1535294
  • Title

    Robust Extraction of Urban Area Extents in HR and VHR SAR Images

  • Author

    Gamba, Paolo ; Aldrighi, Massimilano ; Stasolla, Mattia

  • Author_Institution
    Dipt. di Elettron., Univ. di Pavia, Pavia, Italy
  • Volume
    4
  • Issue
    1
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    27
  • Lastpage
    34
  • Abstract
    This work is devoted to analyze the performance and adapt the parameters requested for the operational use of a methodology aimed at urban extent extraction. The procedure, initially proposed in a reduced version in a previous paper, has been expanded and improved to make it useful with different HR and VHR radar sensors, and extensive comparison of the results in many different parts of the world have been considered. In this work the approach is compared against reference settlement extents obtained from maps provided by the most relevant global mapping projects. Considerations about the robust ness of the approach to different spatial resolution, adaptiveness of the parameter range to the SAR sensor characteristics and other issues dealing with practical implementation of the whole procedures complete the research work discussed in these pages.
  • Keywords
    feature extraction; geophysical image processing; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; SAR sensor characteristics; VHR SAR images; VHR radar sensors; high resolution SAR images; parameter range; spatial resolution; syntheic aperture radar; urban area extent extraction; very high resolution SAR images; SAR; texture; urban remote sensing;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2010.2052023
  • Filename
    5510021